DataLake creation for RETAIL business from TERADATA, API and SFTP as Sources. Storing data into HIVE/IMPALA for TABLEAU reports. Technologies used : Cloudera, spark, scala, hive, Jenkins, oozie, intellij.

ETL Platform handling and Direct Client Interaction with Mercedez Benz.

Big Data Project 1. This project involved multi-level part obsolescence for Applied Materials . Technology used are pyspark, impala, Hive, Shell Scripting and hue. Big Data Project 2. Developing clients HR system using Big Data Technologies. Technology used are pyspark, impala, Hive, Shell Scripting and hue. Big Data Project 3. Migrating Clients SAP system to Hadoop. Technology used are python, spark, impala, Hive, Shell Scripting and hue. Big Data Project 4. Processing of US based Hospitality Clients on Data using AWS EMR, S3, Spar and Scala.

Client: American Express Big Data Project 1. Developing Map Reduce programs to calculate the credit line to the credit card customers using KNN model to find Euclidean distance. Implement MapReduce, PIG, HIVE for writing script based programs. For unit testing MRUnit. Client: American Express Project 2 On JAVA. Applying business logic for the calculation of Credit Points, Rates, Reversal Points, Event Creation etc. Once the implementation is done, responsible for performing unit testing. Implemented different technologies to achieve this. JBoss BRMS(Drools) Rule engine to apply the business logics, used JAVA for receiving data from upstream system and then apply rules to it. Performed unit testing using JUnit and Cucumber. Used MAVEN for project management. For building ear and deployment used JENKINS. Client: Deutsche Bank Worked as a Process Modeler where my responsibilities involved designing fresh BPMN MAPS using SPARX Enterprise Architect. After the completion of the designing part , sed to make the maps Quality Check complaint and solved various comments put forward by the Quality Check Team. Was also involved in running various SQL scripts to remove any additional errors in the designed maps according to the Business Process Management Notations. Client: Allstate This was a TIBCO based project. The aim of the project was to suppress the traditional Paper Bill Generation and implement the EBill Generation. My role in this project was to gather information from clients, implementation of the requirements, testing, troubleshooting and deployment. Technologies Used are TIBCO BW for developing and testing the application. To receive and send the data we used EMS Queues. To create and monitor queues we used EMS server.